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    EMNLP
    2011
    209views Natural Language Processing» more  EMNLP 2011»
    Structured Relation Discovery using Generative Models
    12 years 11 months ago
    Structured Relation Discovery using Generative Models
    Download  www.cs.umass.edu
    We explore unsupervised approaches to relation extraction between two named entities; for instance, the semantic bornIn relation between a person and location entity. Concretely, ...
    Limin Yao, Aria Haghighi, Sebastian Riedel, Andrew...
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    ICCV
    2011
    IEEE
    235views Computer Vision» more  ICCV 2011»
    Probabilistic Group-Level Motion Analysis and Scenario Recognition
    12 years 11 months ago
    Probabilistic Group-Level Motion Analysis and Scenario Recognition
    Download  www.cse.psu.edu
    This paper addresses the challenge of recognizing behavior of groups of individuals in unconstraint surveillance environments. As opposed to approaches that rely on agglomerative ...
    Ming-Ching Chang, Nils Krahnstoever, Weina Ge
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    JAIR
    2011
    114views more  JAIR 2011»
    Properties of Bethe Free Energies and Message Passing in Gaussian Models
    13 years 2 months ago
    Properties of Bethe Free Energies and Message Passing in Gaussian Models
    Download  www.jair.org
    We address the problem of computing approximate marginals in Gaussian probabilistic models by using mean field and fractional Bethe approximations. We define the Gaussian fracti...
    Botond Cseke, Tom Heskes
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    CVPR
    2011
    IEEE
    385views Computer Vision» more  CVPR 2011»
    On Deep Generative Models with Applications to Recognition
    13 years 7 months ago
    On Deep Generative Models with Applications to Recognition
    Download  www.cs.toronto.edu
    The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
    Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
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    ICTIR
    2009
    Springer
    120views Information Technology» more  ICTIR 2009»
    Prior Information and the Determination of Event Spaces in Probabilistic Information Retrieval Models
    13 years 9 months ago
    Prior Information and the Determination of Event Spaces in Probabilistic Information Retrieval Models
    Download  oai.cwi.nl
    Abstract. A mismatch between differenteventspaceshasbeen used toargue against rank equivalence of classic probabilistic models of information retrieval and language models. We ques...
    Corrado Boscarino, Arjen P. de Vries
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    ACL
    2010
    227views Computational Linguistics» more  ACL 2010»
    PCFGs, Topic Models, Adaptor Grammars and Learning Topical Collocations and the Structure of Proper Names
    13 years 9 months ago
    PCFGs, Topic Models, Adaptor Grammars and Learning Topical Collocations and the Structure of Proper Names
    Download  aclweb.org
    This paper establishes a connection between two apparently very different kinds of probabilistic models. Latent Dirichlet Allocation (LDA) models are used as "topic models&qu...
    Mark Johnson
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    COLING
    2002
    114views Computational Linguistics» more  COLING 2002»
    Probabilistic Models of Verb-Argument Structure
    13 years 11 months ago
    Probabilistic Models of Verb-Argument Structure
    Download  acl.ldc.upenn.edu
    We evaluate probabilistic models of verb argument structure trained on a corpus of verbs and their syntactic arguments. Models designed to represent patterns of verb alternation b...
    Daniel Gildea
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    BMCBI
    2005
    100views more  BMCBI 2005»
    Evolutionary models for insertions and deletions in a probabilistic modeling framework
    13 years 11 months ago
    Evolutionary models for insertions and deletions in a probabilistic modeling framework
    Download  www.biomedcentral.com
    Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
    Elena Rivas
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    SIGIR
    2008
    ACM
    124views Information Technology» more  SIGIR 2008»
    Discriminative probabilistic models for passage based retrieval
    13 years 11 months ago
    Discriminative probabilistic models for passage based retrieval
    Download  cs.stanford.edu
    The approach of using passage-level evidence for document retrieval has shown mixed results when it is applied to a variety of test beds with different characteristics. One main r...
    Mengqiu Wang, Luo Si
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    NN
    2006
    Springer
    232views Neural Networks» more  NN 2006»
    A probabilistic model of gaze imitation and shared attention
    13 years 11 months ago
    A probabilistic model of gaze imitation and shared attention
    Download  www.cs.washington.edu
    An important component of language acquisition and cognitive learning is gaze imitation. Infants as young as one year of age can follow the gaze of an adult to determine the objec...
    Matthew W. Hoffman, David B. Grimes, Aaron P. Shon...
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